Global Research Trends and Developments on Intangible Cultural Heritage by Silkvi Kheir Rahma, Ute Lies Siti Khadijah, Rully Khairul Anwar

“…A bibliometric approach with descriptive analysis and social network mapping was employed to examine 590 articles published between 2019 and 2023. …”
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Spatiotemporal analysis of land use and land cover changes, LST and NDVI in Thatta district, Sindh, Pakistan

“…The purpose of this work is to determine land-use and land-cover (LULC) patterns, land surface temperature (LST), and normalized difference vegetation index (NDVI) changes in Thatta district using Landsat data from 1991 to 2021 and evaluate the relationship between LST and NDVI. …”
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IMPLEMENTATION OF BACKPROPAGATION AND HYBRID ARIMA-NN METHODS IN PREDICTING ACCURACY LEVELS OF RAINFALL IN MAKASSAR CITY by Hisyam Ihsan, Irwan Irwan, Andi Illa Erviani Nensi

“…Hybrid ARIMA-NN is a combined approach of the ARIMA model used to capture linear patterns in time series data and Artificial Neural Networks (ANN) to handle non-linear and stochastic patterns. …”
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Peningkatan Performa Pengelompokan Pola Berpikir Siswa dalam Belajar pada Media Pembelajaran Menggunakan Direct Batch Growing Self Organizing Map by Mochammad Izzuddin, Ahmad Afif Supianto, Tibyani Tibyani, Hilman Ferdinandus Pardede, Asri Rizki Yuliani, Ade Ramdan

“…However, SOM has limitations in determining network size because it is static. The limitations that exist in SOM can be overcome, this study proposes a Direct Batch Growing Self Organizing Map (DBGSOM) which is dynamic in network size and faster in the training process. …”
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Probabilistic and deep learning approaches for conductivity-driven nanocomposite classification by Wejden Gazehi, Rania Loukil, Mongi Besbes

“…This probabilistic foundation is complemented by a Recurrent Neural Network (RNN) based on the Transformer architecture, which enhances classification accuracy by capturing sequential dependencies and complex data patterns. …”
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Associating walkability features with pedestrian activity in a central Athens neighborhood. by Yannis PARASKEVOPOULOS, Stefanos TSIGDINOS, Maria ANDRAKAKOU ANDRAKAKOU

“…In addition, they appear to have strong positive correlation with local network centrality (space syntax), sidewalk width and functional density. …”
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KEY TRENDS IN THE DEVELOPMENT OF LAND TRANSPORT INFRASTRUCTURE IN RUSSIA’S ARCTIC REGIONS DURING THE PRE-PANDEMIC PERIOD by Natalia A. Serova, Valentina A. Serova

“…The authors’ future research will focus on exploring trends and specificities of land transport development under current geopolitical conditions, aiming to evaluate the effectiveness of public policy in developing a backbone transport network in the Arctic during times of crisis.…”

ST-GAT Resident OD Prediction Model Based on Mobile Signaling Data by Xianguang Jia, Weijie Fang, Yingying Lyu, Jinke Zhang, Mengyi Guo, Dong Li, Jie Qu, Fengxiang Guo

“…This model innovatively introduces the graph attention mechanism into the spatio-temporal graph network (ST-GNN), in the spatial dimension, the attention layer (GAL) dynamically learns the attention weights among nodes to adaptively capture the dynamic spatial dependencies in the transportation network, and in the temporal dimension, the temporal convolutional layer extracts the multiscale temporal patterns, which efficiently captures the complex spatiotemporal dependencies in the OD data. …”
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Application of Multi-Scale Geological Modeling Technology in Sweet Spot Prediction of Shale Oil Reservoirs by HU Laidong, HUO Hanyong, GUAN Qianqian, TANG Caixia, TAO Ji, ZHANG Yuxuan

“…Considering fracture impacts on modeling, multi-scale observations (micron/millimeter/meter-scale) are employed to identify fractures, clarify their characteristics and development patterns. Under the spatial constraints of shale lithofacies models, stochastic simulations are conducted using discrete fracture network (DFN) models, structural fracture occurrence index models, and development intensity models to establish 3D fracture network models. …”
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INTERNAL AUDIT AS A STRATEGIC RISK MANAGEMENT TOOL: A BIBLIOMETRIC ANALYSIS OF PUBLIC SECTOR EVOLUTION by Zulkiffly Baharom

“…The analysis encompasses 1,132 publications from the Scopus database (1978-2024), employing ScientoPy for bibliometric evaluation and VOSviewer for network visualization. …”
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Fault-tolerant and mobility-aware loading via Markov chain in mobile cloud computing by Ning Wang, Ya Li, Yuanbang Li, Huanxin Nie

“…Abstract With the development of better communication networks and other related technologies, the IoT has become an integral part of modern IT. …”
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GA-Attention-Fuzzy-Stock-Net: An optimized neuro-fuzzy system for stock market price prediction with genetic algorithm and attention mechanism by Burak Gülmez

“…Genetic algorithms optimize the hyperparameters, including learning rates and network architectures, while the attention mechanism enhances the model's ability to focus on relevant temporal patterns. …”
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Mobile Tourism Research and Practices: A Comprehensive Bibliometric Exploration and Future Study Direction by Syaifullah Syaifullah, Shamsul Arrieya Ariffin, Norhisham Mohamad Nordin

“… Even though mobile tourism analysis is developing, there is still a lack of literature regarding its formation patterns which makes the picture of its evolution incomplete. …”
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Improving unsupervised pedestrian re‐identification with enhanced feature representation and robust clustering by Jiang Luo, Lingjun Liu

“…Second, a dispersion‐based clustering method, which can effectively evaluate the quality of clustering and discover potential patterns in the data is designed. …”
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Image-Based Malware Detection Using Deep CNN Models by hawraa omran musa, Muhanad Tahrir Younis

“…Deep learning (DL) presents a promising strategy for malware detection by utilizing advanced algorithms that are capable of discerning intricate patterns from extensive datasets. This study presents a model based on deep learning with Convolutional Neural Network (CNN) for malware classification. …”
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Census and Analysis of Higher-Order Interactions in Real-World Hypergraphs by Xihang Meng, Xuemeng Zhai, Gaolei Fei, Sheng Wen, Guangmin Hu

“…This framework features the encoding, census, and evaluation of higher-order patterns, effectively overcoming their inherent complexity and diversity. …”
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Well Performance from Numerical Methods to Machine Learning Approach: Applications in Multiple Fractured Shale Reservoirs by Kailei Liu, Boyue Xu, Changjea Kim, Jing Fu

“…The first method is the artificial neural network, through which we can analyze the big data from unconventional reservoirs to understand the underlying patterns and relationships. …”
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Road‐Level Charging Gaps and Infrastructure Enhancements in Japan's Electric Vehicle Transition by Xiaoyan Xu, Yoshikuni Yoshida, Jiawei Yong, Shintaro Fukushima, Renhe Jiang, Yin Long

“…To address this challenge, we conduct a spatial evaluation of EV charger accessibility and assess strategies for optimizing network accessibility. …”
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DDD++: Exploiting Density map consistency for Deep Depth estimation in indoor environments by Giovanni Pintore, Marco Agus, Alberto Signoroni, Enrico Gobbetti

“…By leveraging the distinctive vertical and horizontal patterns found in man-made indoor environments, we propose a streamlined network architecture that incorporates gravity-aligned feature flattening and specialized vision transformers. …”
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Technology and practice for efficient development of coalbed methane horizontal wells in high-rank coal of Qinshui Basin by WU Xi

“…Consequently, a “five-element” evaluation index system for production potential in efficient development areas was established, and an optimization method for selecting efficient development areas for high-rank coalbed methane was formulated. …”
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